Call for Participation
Vision for Automotive Applications
One Day BMVA technical meeting in London, UK, on 20th May 2009
Chair: Toby Breckon (Cranfield University)
Please submit an extended summary of about one A4-sized page length (no
longer than 2 pages) in length (PDF preferred). Send contributions by
email attachment (1Mb max please) to Toby Breckon (Toby Breckon,
[log in to unmask]) by 17th April 2009.
Automotive vision is an increasing area within computer vision research
for both on and off vehicle applications. Whilst improved driver
awareness is an obvious conduit, the greater potential for enhanced
sensing within the wider road transport system offers numerous benefits
for safety, security and possibly the environment alike.
Within this domain, this potential comes at the cost of hard
constraints in terms of the obvious need for reliability and often
real-time performance. However, the ever reducing cost of computation
coupled with increasing low-cost sensor capabilities now help drive both
research and commercial systems for both on and off vehicle vision systems.
The aim of this meeting is to bring together researchers and
practitioners, from both industry and academia, interested in all
aspects of automotive vision and in addition potential future
applications of their work into this domain. Submissions are invited
within in the following areas:
- highway monitoring and reporting
- driver monitoring
- improved driver awareness
- vision as a navigation aid
- automotive data fusion
- real-time obstacle detection
- pedestrian and vehicle detection
- terrain / road classification
- vision for post incident forensics
- novel on-vehicle sensing
- road side asset detection and cataloguing
- on-vehicle recognition and classification
Other topics within the broadly applicable domain of automotive vision
will also be considered for inclusion.
http://www.cranfield.ac.uk/~toby.breckon/bmva_symp_automotive09.pdf
http:/www.bmva.org/meetings
--
Dr Dimitrios Makris
Senior Lecturer
Faculty of Computing, Information Systems and Mathematics
Kingston University, London
Tel: +44 20 8517 7082
Email: [log in to unmask]
Web: staffnet.kingston.ac.uk/~ku32195/
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